Overview

Dataset statistics

Number of variables30
Number of observations3866
Missing cells80746
Missing cells (%)69.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory906.2 KiB
Average record size in memory240.0 B

Variable types

Numeric27
Categorical3

Alerts

Date has a high cardinality: 70 distinct valuesHigh cardinality
Experimental_Year is highly overall correlated with DateHigh correlation
Depth_min is highly overall correlated with Depth_max and 2 other fieldsHigh correlation
Depth_max is highly overall correlated with Depth_min and 2 other fieldsHigh correlation
WHC is highly overall correlated with BeneficialsHigh correlation
Total_Organic_Carbon is highly overall correlated with Depth_min and 3 other fieldsHigh correlation
Chalk is highly overall correlated with BeneficialsHigh correlation
Humus is highly overall correlated with Depth_min and 3 other fieldsHigh correlation
Borium is highly overall correlated with Manganese and 2 other fieldsHigh correlation
Manganese is highly overall correlated with BoriumHigh correlation
Sulphate is highly overall correlated with Date and 1 other fieldsHigh correlation
Date is highly overall correlated with Experimental_Year and 3 other fieldsHigh correlation
Crop is highly overall correlated with Borium and 2 other fieldsHigh correlation
Beneficials is highly overall correlated with WHC and 3 other fieldsHigh correlation
Beneficials is highly imbalanced (93.1%)Imbalance
Dry_Matter has 3642 (94.2%) missing valuesMissing
Organic_Matter has 3642 (94.2%) missing valuesMissing
pH has 3642 (94.2%) missing valuesMissing
WHC has 464 (12.0%) missing valuesMissing
Total_Carbon has 3402 (88.0%) missing valuesMissing
Total_Nitrogen has 3642 (94.2%) missing valuesMissing
CN_Ratio has 3642 (94.2%) missing valuesMissing
Total_Organic_Carbon has 3626 (93.8%) missing valuesMissing
Chalk has 3626 (93.8%) missing valuesMissing
Humus has 3626 (93.8%) missing valuesMissing
Ammonium has 3648 (94.4%) missing valuesMissing
Borium has 3834 (99.2%) missing valuesMissing
Calcium has 3674 (95.0%) missing valuesMissing
Copper has 3642 (94.2%) missing valuesMissing
Diphosphorus_Pentoxide has 3642 (94.2%) missing valuesMissing
Iron has 3642 (94.2%) missing valuesMissing
Magnesium has 3642 (94.2%) missing valuesMissing
Manganese has 3642 (94.2%) missing valuesMissing
Nitrate has 3642 (94.2%) missing valuesMissing
Potassium_Oxide has 3642 (94.2%) missing valuesMissing
Sodium has 3642 (94.2%) missing valuesMissing
Sulphate has 3834 (99.2%) missing valuesMissing
Zinc has 3642 (94.2%) missing valuesMissing
pH is highly skewed (γ1 = -2.218720501)Skewed
Total_Carbon is highly skewed (γ1 = 1.007038957)Skewed
Chalk is highly skewed (γ1 = 1.044136539)Skewed
Ammonium is highly skewed (γ1 = 2.448416448)Skewed
Iron is highly skewed (γ1 = 1.121245129)Skewed
Nitrate is highly skewed (γ1 = 1.296906182)Skewed
Sulphate is highly skewed (γ1 = 3.241299441)Skewed
Depth_min has 1236 (32.0%) zerosZeros

Reproduction

Analysis started2024-07-19 13:37:41.195399
Analysis finished2024-07-19 13:39:26.855842
Duration1 minute and 45.66 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Experimental_Year
Real number (ℝ)

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Skewness-0.411
Mean2.02 × 103
Minimum2.01 × 103
Maximum2.02 × 103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:26.912001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.01 × 103
5-th percentile2.01 × 103
Q12.01 × 103
median2.02 × 103
Q32.02 × 103
95-th percentile2.02 × 103
Maximum2.02 × 103
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.84
Coefficient of variation (CV)0.00141
Kurtosis-0.485
Mean2.02 × 103
Median Absolute Deviation (MAD)2
Skewness-0.411
Sum7.79 × 106
Variance8.07
MonotonicityNot monotonic
2024-07-19T15:39:27.042899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2019 592
15.3%
2014 432
11.2%
2017 432
11.2%
2018 432
11.2%
2013 431
11.1%
2015 430
11.1%
2016 429
11.1%
2012 384
9.9%
2009 240
6.2%
2020 32
 
0.8%
ValueCountFrequency (%)
2009 240
6.2%
2012 384
9.9%
2013 431
11.1%
2014 432
11.2%
2015 430
11.1%
ValueCountFrequency (%)
2021 32
 
0.8%
2020 32
 
0.8%
2019 592
15.3%
2018 432
11.2%
2017 432
11.2%

Date
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct70
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2015-02-20 00:00:00.0000000
 
168
2009-03-04 00:00:00.0000000
 
144
2017-03-08 00:00:00.0000000
 
132
2016-02-25 00:00:00.0000000
 
132
2012-03-05 00:00:00.0000000
 
132
Other values (65)
3158 

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters104382
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009-03-03 00:00:00.0000000
2nd row2009-03-03 00:00:00.0000000
3rd row2009-03-03 00:00:00.0000000
4th row2009-03-03 00:00:00.0000000
5th row2009-03-03 00:00:00.0000000

Common Values

ValueCountFrequency (%)
2015-02-20 00:00:00.0000000 168
 
4.3%
2009-03-04 00:00:00.0000000 144
 
3.7%
2017-03-08 00:00:00.0000000 132
 
3.4%
2016-02-25 00:00:00.0000000 132
 
3.4%
2012-03-05 00:00:00.0000000 132
 
3.4%
2019-02-21 00:00:00.0000000 96
 
2.5%
2019-07-26 00:00:00.0000000 96
 
2.5%
2018-02-20 00:00:00.0000000 84
 
2.2%
2015-07-31 00:00:00.0000000 84
 
2.2%
2018-07-09 00:00:00.0000000 84
 
2.2%
Other values (60) 2714
70.2%

Length

2024-07-19T15:39:27.176552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00.0000000 3866
50.0%
2015-02-20 168
 
2.2%
2009-03-04 144
 
1.9%
2017-03-08 132
 
1.7%
2016-02-25 132
 
1.7%
2012-03-05 132
 
1.7%
2019-02-21 96
 
1.2%
2019-07-26 96
 
1.2%
2018-02-20 84
 
1.1%
2015-07-31 84
 
1.1%
Other values (61) 2798
36.2%

Most occurring characters

ValueCountFrequency (%)
0 60197
57.7%
- 7732
 
7.4%
: 7732
 
7.4%
2 6652
 
6.4%
1 5290
 
5.1%
3866
 
3.7%
. 3866
 
3.7%
7 1617
 
1.5%
9 1408
 
1.3%
3 1394
 
1.3%
Other values (4) 4628
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81186
77.8%
Other Punctuation 11598
 
11.1%
Dash Punctuation 7732
 
7.4%
Space Separator 3866
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60197
74.1%
2 6652
 
8.2%
1 5290
 
6.5%
7 1617
 
2.0%
9 1408
 
1.7%
3 1394
 
1.7%
4 1368
 
1.7%
8 1271
 
1.6%
5 1084
 
1.3%
6 905
 
1.1%
Other Punctuation
ValueCountFrequency (%)
: 7732
66.7%
. 3866
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 7732
100.0%
Space Separator
ValueCountFrequency (%)
3866
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60197
57.7%
- 7732
 
7.4%
: 7732
 
7.4%
2 6652
 
6.4%
1 5290
 
5.1%
3866
 
3.7%
. 3866
 
3.7%
7 1617
 
1.5%
9 1408
 
1.3%
3 1394
 
1.3%
Other values (4) 4628
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60197
57.7%
- 7732
 
7.4%
: 7732
 
7.4%
2 6652
 
6.4%
1 5290
 
5.1%
3866
 
3.7%
. 3866
 
3.7%
7 1617
 
1.5%
9 1408
 
1.3%
3 1394
 
1.3%
Other values (4) 4628
 
4.4%

Plot_ID
Real number (ℝ)

Distinct180
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Skewness-0.0112
Mean119
Minimum1
Maximum236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:27.291452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q157
median119
Q3181
95-th percentile229
Maximum236
Range235
Interquartile range (IQR)124

Descriptive statistics

Standard deviation69.5
Coefficient of variation (CV)0.585
Kurtosis-1.2
Mean119
Median Absolute Deviation (MAD)62
Skewness-0.0112
Sum4.59 × 105
Variance4.83 × 103
MonotonicityNot monotonic
2024-07-19T15:39:27.416910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
98 65
 
1.7%
103 65
 
1.7%
19 63
 
1.6%
182 63
 
1.6%
82 63
 
1.6%
87 63
 
1.6%
20 63
 
1.6%
188 63
 
1.6%
187 63
 
1.6%
181 63
 
1.6%
Other values (170) 3232
83.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 61
1.6%
4 61
1.6%
5 3
 
0.1%
ValueCountFrequency (%)
236 56
1.4%
235 56
1.4%
232 1
 
< 0.1%
231 1
 
< 0.1%
230 56
1.4%

Crop
Categorical

Distinct5
Distinct (%)0.1%
Missing24
Missing (%)0.6%
Memory size30.3 KiB
Winter wheat
1557 
Grain maize
896 
Winter barley
767 
Winter rapeseed
586 
Summer rapeseed
 
36

Length

Max length15
Median length13
Mean length12.5
Min length11

Characters and Unicode

Total characters47841
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWinter rapeseed
2nd rowWinter rapeseed
3rd rowWinter rapeseed
4th rowWinter rapeseed
5th rowWinter rapeseed

Common Values

ValueCountFrequency (%)
Winter wheat 1557
40.3%
Grain maize 896
23.2%
Winter barley 767
19.8%
Winter rapeseed 586
 
15.2%
Summer rapeseed 36
 
0.9%
(Missing) 24
 
0.6%

Length

2024-07-19T15:39:27.573462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-19T15:39:27.760054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
winter 2910
37.9%
wheat 1557
20.3%
grain 896
 
11.7%
maize 896
 
11.7%
barley 767
 
10.0%
rapeseed 622
 
8.1%
summer 36
 
0.5%

Most occurring characters

ValueCountFrequency (%)
e 8032
16.8%
r 5231
10.9%
a 4738
9.9%
i 4702
9.8%
t 4467
9.3%
3842
8.0%
n 3806
8.0%
W 2910
 
6.1%
w 1557
 
3.3%
h 1557
 
3.3%
Other values (11) 6999
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40157
83.9%
Space Separator 3842
 
8.0%
Uppercase Letter 3842
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8032
20.0%
r 5231
13.0%
a 4738
11.8%
i 4702
11.7%
t 4467
11.1%
n 3806
9.5%
w 1557
 
3.9%
h 1557
 
3.9%
m 968
 
2.4%
z 896
 
2.2%
Other values (7) 4203
10.5%
Uppercase Letter
ValueCountFrequency (%)
W 2910
75.7%
G 896
 
23.3%
S 36
 
0.9%
Space Separator
ValueCountFrequency (%)
3842
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43999
92.0%
Common 3842
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8032
18.3%
r 5231
11.9%
a 4738
10.8%
i 4702
10.7%
t 4467
10.2%
n 3806
8.7%
W 2910
 
6.6%
w 1557
 
3.5%
h 1557
 
3.5%
m 968
 
2.2%
Other values (10) 6031
13.7%
Common
ValueCountFrequency (%)
3842
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 8032
16.8%
r 5231
10.9%
a 4738
9.9%
i 4702
9.8%
t 4467
9.3%
3842
8.0%
n 3806
8.0%
W 2910
 
6.1%
w 1557
 
3.3%
h 1557
 
3.3%
Other values (11) 6999
14.6%

Beneficials
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
Control
3834 
BMs
 
32

Length

Max length7
Median length7
Mean length6.97
Min length3

Characters and Unicode

Total characters26934
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowControl
2nd rowControl
3rd rowControl
4th rowControl
5th rowControl

Common Values

ValueCountFrequency (%)
Control 3834
99.2%
BMs 32
 
0.8%

Length

2024-07-19T15:39:27.931142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-19T15:39:28.086139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
control 3834
99.2%
bms 32
 
0.8%

Most occurring characters

ValueCountFrequency (%)
o 7668
28.5%
C 3834
14.2%
n 3834
14.2%
t 3834
14.2%
r 3834
14.2%
l 3834
14.2%
B 32
 
0.1%
M 32
 
0.1%
s 32
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23036
85.5%
Uppercase Letter 3898
 
14.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 7668
33.3%
n 3834
16.6%
t 3834
16.6%
r 3834
16.6%
l 3834
16.6%
s 32
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 3834
98.4%
B 32
 
0.8%
M 32
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 26934
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7668
28.5%
C 3834
14.2%
n 3834
14.2%
t 3834
14.2%
r 3834
14.2%
l 3834
14.2%
B 32
 
0.1%
M 32
 
0.1%
s 32
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 7668
28.5%
C 3834
14.2%
n 3834
14.2%
t 3834
14.2%
r 3834
14.2%
l 3834
14.2%
B 32
 
0.1%
M 32
 
0.1%
s 32
 
0.1%

Depth_min
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Skewness0.337
Mean26.2
Minimum0
Maximum60
Zeros1236
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:28.187913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q360
95-th percentile60
Maximum60
Range60
Interquartile range (IQR)60

Descriptive statistics

Standard deviation23.4
Coefficient of variation (CV)0.891
Kurtosis-1.32
Mean26.2
Median Absolute Deviation (MAD)30
Skewness0.337
Sum1.01 × 105
Variance547
MonotonicityNot monotonic
2024-07-19T15:39:28.306135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 1236
32.0%
30 1036
26.8%
60 1032
26.7%
15 562
14.5%
ValueCountFrequency (%)
0 1236
32.0%
15 562
14.5%
30 1036
26.8%
60 1032
26.7%
ValueCountFrequency (%)
60 1032
26.7%
30 1036
26.8%
15 562
14.5%
0 1236
32.0%

Depth_max
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Skewness0.206
Mean51.9
Minimum15
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:28.435220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q130
median60
Q390
95-th percentile90
Maximum90
Range75
Interquartile range (IQR)60

Descriptive statistics

Standard deviation27.5
Coefficient of variation (CV)0.53
Kurtosis-1.41
Mean51.9
Median Absolute Deviation (MAD)30
Skewness0.206
Sum2.01 × 105
Variance757
MonotonicityNot monotonic
2024-07-19T15:39:28.558968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
30 1234
31.9%
60 1036
26.8%
90 1032
26.7%
15 564
14.6%
ValueCountFrequency (%)
15 564
14.6%
30 1234
31.9%
60 1036
26.8%
90 1032
26.7%
ValueCountFrequency (%)
90 1032
26.7%
60 1036
26.8%
30 1234
31.9%
15 564
14.6%

Dry_Matter
Real number (ℝ)

Distinct83
Distinct (%)37.1%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.232
Mean84.3
Minimum76.8
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:28.707641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum76.8
5-th percentile78.2
Q180.2
median82.1
Q389.4
95-th percentile91.4
Maximum92.4
Range15.6
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation4.72
Coefficient of variation (CV)0.0559
Kurtosis-1.53
Mean84.3
Median Absolute Deviation (MAD)3.55
Skewness0.232
Sum1.89 × 104
Variance22.2
MonotonicityNot monotonic
2024-07-19T15:39:28.835770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
80.2 11
 
0.3%
90.1 9
 
0.2%
80.3 9
 
0.2%
80.9 7
 
0.2%
81.8 7
 
0.2%
79.4 6
 
0.2%
80.4 6
 
0.2%
80.8 6
 
0.2%
80.1 6
 
0.2%
90.6 6
 
0.2%
Other values (73) 151
 
3.9%
(Missing) 3642
94.2%
ValueCountFrequency (%)
76.8 3
0.1%
77.2 3
0.1%
78 3
0.1%
78.1 2
0.1%
78.2 3
0.1%
ValueCountFrequency (%)
92.4 1
 
< 0.1%
92 1
 
< 0.1%
91.8 3
0.1%
91.7 1
 
< 0.1%
91.6 4
0.1%

Organic_Matter
Real number (ℝ)

Distinct77
Distinct (%)34.4%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.334
Mean3.22
Minimum2.35
Maximum4.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:28.977275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2.35
5-th percentile2.64
Q12.9
median3.15
Q33.54
95-th percentile3.9
Maximum4.31
Range1.96
Interquartile range (IQR)0.648

Descriptive statistics

Standard deviation0.427
Coefficient of variation (CV)0.133
Kurtosis-0.759
Mean3.22
Median Absolute Deviation (MAD)0.336
Skewness0.334
Sum722
Variance0.182
MonotonicityNot monotonic
2024-07-19T15:39:29.109268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3.5 11
 
0.3%
2.7 8
 
0.2%
3.4 8
 
0.2%
2.9 6
 
0.2%
3 5
 
0.1%
2.8 5
 
0.1%
3.2 5
 
0.1%
2.961096886 3
 
0.1%
3.278700097 3
 
0.1%
3.641915003 3
 
0.1%
Other values (67) 167
 
4.3%
(Missing) 3642
94.2%
ValueCountFrequency (%)
2.345090826 1
< 0.1%
2.383371212 1
< 0.1%
2.496017544 1
< 0.1%
2.509043571 1
< 0.1%
2.533059925 1
< 0.1%
ValueCountFrequency (%)
4.30859856 3
0.1%
4.163738081 3
0.1%
3.930354857 1
 
< 0.1%
3.925368532 3
0.1%
3.896645657 3
0.1%

pH
Real number (ℝ)

MISSING  SKEWED 

Distinct47
Distinct (%)21.0%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness-2.22
Mean7.25
Minimum5.92
Maximum7.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:29.258777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.92
5-th percentile6.47
Q17.17
median7.4
Q37.5
95-th percentile7.53
Maximum7.61
Range1.69
Interquartile range (IQR)0.335

Descriptive statistics

Standard deviation0.357
Coefficient of variation (CV)0.0492
Kurtosis5.26
Mean7.25
Median Absolute Deviation (MAD)0.11
Skewness-2.22
Sum1.62 × 103
Variance0.127
MonotonicityNot monotonic
2024-07-19T15:39:29.378221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.5 36
 
0.9%
7.4 18
 
0.5%
7.53 9
 
0.2%
7.2 8
 
0.2%
7.36 7
 
0.2%
7.48 7
 
0.2%
7.03 6
 
0.2%
7.44 6
 
0.2%
7.27 6
 
0.2%
7.47 6
 
0.2%
Other values (37) 115
 
3.0%
(Missing) 3642
94.2%
ValueCountFrequency (%)
5.92 3
0.1%
5.93 3
0.1%
5.98 3
0.1%
6.44 3
0.1%
6.66 3
0.1%
ValueCountFrequency (%)
7.61 1
 
< 0.1%
7.6 2
0.1%
7.59 1
 
< 0.1%
7.56 3
0.1%
7.54 4
0.1%

WHC
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1405
Distinct (%)41.3%
Missing464
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Skewness-0.411
Mean57
Minimum-24.4
Maximum120
Zeros0
Zeros (%)0.0%
Negative197
Negative (%)5.1%
Memory size30.3 KiB
2024-07-19T15:39:29.508326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-24.4
5-th percentile-1.9
Q121.4
median68.3
Q388.6
95-th percentile102
Maximum120
Range144
Interquartile range (IQR)67.2

Descriptive statistics

Standard deviation36.5
Coefficient of variation (CV)0.641
Kurtosis-1.22
Mean57
Median Absolute Deviation (MAD)26.4
Skewness-0.411
Sum1.94 × 105
Variance1.33 × 103
MonotonicityNot monotonic
2024-07-19T15:39:29.637190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
96 12
 
0.3%
96.2 11
 
0.3%
87.5 11
 
0.3%
90.8 10
 
0.3%
79.8 10
 
0.3%
97.7 9
 
0.2%
87.9 9
 
0.2%
89.7 9
 
0.2%
84.4 9
 
0.2%
83 9
 
0.2%
Other values (1395) 3303
85.4%
(Missing) 464
 
12.0%
ValueCountFrequency (%)
-24.38 1
< 0.1%
-23.68 1
< 0.1%
-22.8 1
< 0.1%
-20.74 1
< 0.1%
-19.6 1
< 0.1%
ValueCountFrequency (%)
119.5 1
< 0.1%
118.2 1
< 0.1%
117.8 2
0.1%
117.2 1
< 0.1%
116.8 2
0.1%

Total_Carbon
Real number (ℝ)

MISSING  SKEWED 

Distinct303
Distinct (%)65.3%
Missing3402
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Skewness1.01
Mean1.96
Minimum1.3
Maximum3.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:29.781224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.51
Q11.7
median1.86
Q32.15
95-th percentile2.64
Maximum3.52
Range2.21
Interquartile range (IQR)0.449

Descriptive statistics

Standard deviation0.358
Coefficient of variation (CV)0.183
Kurtosis1.13
Mean1.96
Median Absolute Deviation (MAD)0.236
Skewness1.01
Sum908
Variance0.128
MonotonicityNot monotonic
2024-07-19T15:39:29.904423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.6 11
 
0.3%
2 6
 
0.2%
2.2 5
 
0.1%
2.1 4
 
0.1%
1.8271215 3
 
0.1%
1.7579623 3
 
0.1%
1.766257 3
 
0.1%
2.3267859 3
 
0.1%
2.0979583 3
 
0.1%
1.8234256 3
 
0.1%
Other values (293) 420
 
10.9%
(Missing) 3402
88.0%
ValueCountFrequency (%)
1.303 1
< 0.1%
1.337 1
< 0.1%
1.354 1
< 0.1%
1.375 1
< 0.1%
1.379 1
< 0.1%
ValueCountFrequency (%)
3.516 1
< 0.1%
3.352 1
< 0.1%
3.113 1
< 0.1%
3.066 1
< 0.1%
3.035 1
< 0.1%

Total_Nitrogen
Real number (ℝ)

Distinct58
Distinct (%)25.9%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.638
Mean0.173
Minimum0.118
Maximum0.252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:30.031063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.118
5-th percentile0.136
Q10.15
median0.17
Q30.192
95-th percentile0.227
Maximum0.252
Range0.134
Interquartile range (IQR)0.042

Descriptive statistics

Standard deviation0.0289
Coefficient of variation (CV)0.167
Kurtosis-0.119
Mean0.173
Median Absolute Deviation (MAD)0.021
Skewness0.638
Sum38.8
Variance0.000834
MonotonicityNot monotonic
2024-07-19T15:39:30.167238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.16 18
 
0.5%
0.15 13
 
0.3%
0.148 9
 
0.2%
0.17 8
 
0.2%
0.192 7
 
0.2%
0.18 7
 
0.2%
0.182 7
 
0.2%
0.155 6
 
0.2%
0.191 6
 
0.2%
0.144 6
 
0.2%
Other values (48) 137
 
3.5%
(Missing) 3642
94.2%
ValueCountFrequency (%)
0.118 1
< 0.1%
0.119 1
< 0.1%
0.124 1
< 0.1%
0.127 1
< 0.1%
0.128 2
0.1%
ValueCountFrequency (%)
0.252 3
0.1%
0.247 3
0.1%
0.229 3
0.1%
0.227 3
0.1%
0.224 3
0.1%

CN_Ratio
Real number (ℝ)

Distinct95
Distinct (%)42.4%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness-0.568
Mean11.5
Minimum7.89
Maximum15.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:30.301390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.89
5-th percentile9.23
Q110.2
median11.9
Q312.2
95-th percentile13
Maximum15.2
Range7.31
Interquartile range (IQR)1.99

Descriptive statistics

Standard deviation1.26
Coefficient of variation (CV)0.11
Kurtosis0.554
Mean11.5
Median Absolute Deviation (MAD)0.52
Skewness-0.568
Sum2.57 × 103
Variance1.6
MonotonicityNot monotonic
2024-07-19T15:39:30.443180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 31
 
0.8%
11.42760152 3
 
0.1%
11.91781438 3
 
0.1%
12.05723161 3
 
0.1%
9.233277381 3
 
0.1%
11.25004459 3
 
0.1%
12.40920764 3
 
0.1%
12.36071637 3
 
0.1%
11.46949415 3
 
0.1%
12.05657315 3
 
0.1%
Other values (85) 166
 
4.3%
(Missing) 3642
94.2%
ValueCountFrequency (%)
7.886745662 3
0.1%
8.048993392 3
0.1%
9 1
 
< 0.1%
9.228370833 3
0.1%
9.233277381 3
0.1%
ValueCountFrequency (%)
15.19256953 1
< 0.1%
15.02395276 1
< 0.1%
14.25055182 1
< 0.1%
14.06714237 1
< 0.1%
13.79300084 1
< 0.1%

Total_Organic_Carbon
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct228
Distinct (%)95.0%
Missing3626
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Skewness-0.528
Mean1.26
Minimum0.344
Maximum2.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:30.586320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.344
5-th percentile0.534
Q10.99
median1.37
Q31.55
95-th percentile1.83
Maximum2.11
Range1.77
Interquartile range (IQR)0.561

Descriptive statistics

Standard deviation0.411
Coefficient of variation (CV)0.325
Kurtosis-0.647
Mean1.26
Median Absolute Deviation (MAD)0.219
Skewness-0.528
Sum303
Variance0.169
MonotonicityNot monotonic
2024-07-19T15:39:30.718549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.472 2
 
0.1%
1.181 2
 
0.1%
1.383 2
 
0.1%
1.83 2
 
0.1%
0.691 2
 
0.1%
1.311 2
 
0.1%
1.523 2
 
0.1%
1.551 2
 
0.1%
0.602 2
 
0.1%
1.455 2
 
0.1%
Other values (218) 220
 
5.7%
(Missing) 3626
93.8%
ValueCountFrequency (%)
0.344 1
< 0.1%
0.359 1
< 0.1%
0.396 1
< 0.1%
0.434 1
< 0.1%
0.435 1
< 0.1%
ValueCountFrequency (%)
2.109529 1
< 0.1%
2.075649 1
< 0.1%
1.9953 1
< 0.1%
1.965013 1
< 0.1%
1.937 1
< 0.1%

Chalk
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct225
Distinct (%)93.8%
Missing3626
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Skewness1.04
Mean5.73
Minimum0.0851
Maximum23.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:30.858185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.0851
5-th percentile0.228
Q10.89
median2.11
Q39.85
95-th percentile18.3
Maximum23.1
Range23
Interquartile range (IQR)8.96

Descriptive statistics

Standard deviation6.53
Coefficient of variation (CV)1.14
Kurtosis-0.396
Mean5.73
Median Absolute Deviation (MAD)1.79
Skewness1.04
Sum1.38 × 103
Variance42.7
MonotonicityNot monotonic
2024-07-19T15:39:30.989915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 4
 
0.1%
2 3
 
0.1%
1.033333333 2
 
0.1%
1.408333333 2
 
0.1%
1.975 2
 
0.1%
0.8833333333 2
 
0.1%
2.933333333 2
 
0.1%
1.2 2
 
0.1%
1.091666667 2
 
0.1%
0.925 2
 
0.1%
Other values (215) 217
 
5.6%
(Missing) 3626
93.8%
ValueCountFrequency (%)
0.085125 1
< 0.1%
0.08725833333 1
< 0.1%
0.1016666667 1
< 0.1%
0.1126166667 1
< 0.1%
0.1174416667 1
< 0.1%
ValueCountFrequency (%)
23.05833333 1
< 0.1%
22.70833333 1
< 0.1%
21.34166667 1
< 0.1%
21.18333333 1
< 0.1%
21.175 1
< 0.1%

Humus
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct228
Distinct (%)95.0%
Missing3626
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Skewness-0.528
Mean2.17
Minimum0.592
Maximum3.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:31.118322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.592
5-th percentile0.918
Q11.7
median2.36
Q32.67
95-th percentile3.15
Maximum3.63
Range3.04
Interquartile range (IQR)0.965

Descriptive statistics

Standard deviation0.706
Coefficient of variation (CV)0.325
Kurtosis-0.647
Mean2.17
Median Absolute Deviation (MAD)0.377
Skewness-0.528
Sum522
Variance0.499
MonotonicityNot monotonic
2024-07-19T15:39:31.242095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.53184 2
 
0.1%
2.03132 2
 
0.1%
2.37876 2
 
0.1%
3.1476 2
 
0.1%
1.18852 2
 
0.1%
2.25492 2
 
0.1%
2.61956 2
 
0.1%
2.66772 2
 
0.1%
1.03544 2
 
0.1%
2.5026 2
 
0.1%
Other values (218) 220
 
5.7%
(Missing) 3626
93.8%
ValueCountFrequency (%)
0.59168 1
< 0.1%
0.61748 1
< 0.1%
0.68112 1
< 0.1%
0.74648 1
< 0.1%
0.7482 1
< 0.1%
ValueCountFrequency (%)
3.62838988 1
< 0.1%
3.57011628 1
< 0.1%
3.431916 1
< 0.1%
3.37982236 1
< 0.1%
3.33164 1
< 0.1%

Ammonium
Real number (ℝ)

MISSING  SKEWED 

Distinct78
Distinct (%)35.8%
Missing3648
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Skewness2.45
Mean0.101
Minimum0.015
Maximum0.564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:31.380182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.015
5-th percentile0.021
Q10.0362
median0.073
Q30.124
95-th percentile0.28
Maximum0.564
Range0.549
Interquartile range (IQR)0.0875

Descriptive statistics

Standard deviation0.0972
Coefficient of variation (CV)0.963
Kurtosis7.44
Mean0.101
Median Absolute Deviation (MAD)0.041
Skewness2.45
Sum22
Variance0.00946
MonotonicityNot monotonic
2024-07-19T15:39:31.500235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.062 9
 
0.2%
0.024 9
 
0.2%
0.021 9
 
0.2%
0.079 6
 
0.2%
0.105 6
 
0.2%
0.035 5
 
0.1%
0.031 5
 
0.1%
0.05 5
 
0.1%
0.052 4
 
0.1%
0.075 4
 
0.1%
Other values (68) 156
 
4.0%
(Missing) 3648
94.4%
ValueCountFrequency (%)
0.015 1
 
< 0.1%
0.016 1
 
< 0.1%
0.017 3
0.1%
0.018 3
0.1%
0.019 1
 
< 0.1%
ValueCountFrequency (%)
0.564 3
0.1%
0.431 3
0.1%
0.361 3
0.1%
0.28 3
0.1%
0.274 3
0.1%

Borium
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)87.5%
Missing3834
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Skewness0.283
Mean1.64
Minimum1.05
Maximum2.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:31.630192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.05
5-th percentile1.11
Q11.38
median1.51
Q31.94
95-th percentile2.25
Maximum2.28
Range1.23
Interquartile range (IQR)0.567

Descriptive statistics

Standard deviation0.37
Coefficient of variation (CV)0.225
Kurtosis-1.03
Mean1.64
Median Absolute Deviation (MAD)0.26
Skewness0.283
Sum52.5
Variance0.137
MonotonicityNot monotonic
2024-07-19T15:39:31.773686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.49 3
 
0.1%
1.77 2
 
0.1%
1.38 2
 
0.1%
1.08 1
 
< 0.1%
1.4 1
 
< 0.1%
2.07 1
 
< 0.1%
2.11 1
 
< 0.1%
1.94 1
 
< 0.1%
1.85 1
 
< 0.1%
1.28 1
 
< 0.1%
Other values (18) 18
 
0.5%
(Missing) 3834
99.2%
ValueCountFrequency (%)
1.05 1
< 0.1%
1.08 1
< 0.1%
1.14 1
< 0.1%
1.15 1
< 0.1%
1.28 1
< 0.1%
ValueCountFrequency (%)
2.28 1
< 0.1%
2.27 1
< 0.1%
2.24 1
< 0.1%
2.23 1
< 0.1%
2.11 1
< 0.1%

Calcium
Real number (ℝ)

Distinct80
Distinct (%)41.7%
Missing3674
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Skewness-0.654
Mean245
Minimum188
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:31.917714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum188
5-th percentile192
Q1232
median247
Q3263
95-th percentile275
Maximum281
Range93.3
Interquartile range (IQR)31.4

Descriptive statistics

Standard deviation24.1
Coefficient of variation (CV)0.0985
Kurtosis-0.38
Mean245
Median Absolute Deviation (MAD)15.9
Skewness-0.654
Sum4.7 × 104
Variance582
MonotonicityNot monotonic
2024-07-19T15:39:32.046098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
232.52 6
 
0.2%
270 4
 
0.1%
272 4
 
0.1%
268.9 3
 
0.1%
208.22 3
 
0.1%
222.4258 3
 
0.1%
241.62 3
 
0.1%
244.5 3
 
0.1%
242.82 3
 
0.1%
262.1 3
 
0.1%
Other values (70) 157
 
4.1%
(Missing) 3674
95.0%
ValueCountFrequency (%)
187.72 3
0.1%
190.8 3
0.1%
191.9 3
0.1%
192.02 3
0.1%
206.1 3
0.1%
ValueCountFrequency (%)
281 1
< 0.1%
280 1
< 0.1%
279.12 1
< 0.1%
279 1
< 0.1%
278.92 1
< 0.1%

Copper
Real number (ℝ)

Distinct78
Distinct (%)34.8%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness-0.296
Mean2.8
Minimum1.32
Maximum3.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:32.171874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.32
5-th percentile2.1
Q12.58
median2.8
Q33.1
95-th percentile3.56
Maximum3.78
Range2.46
Interquartile range (IQR)0.518

Descriptive statistics

Standard deviation0.448
Coefficient of variation (CV)0.16
Kurtosis0.807
Mean2.8
Median Absolute Deviation (MAD)0.253
Skewness-0.296
Sum628
Variance0.2
MonotonicityNot monotonic
2024-07-19T15:39:32.304253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.6 12
 
0.3%
2.7 9
 
0.2%
3.2 7
 
0.2%
2.5 6
 
0.2%
3 5
 
0.1%
2.9 5
 
0.1%
2.4 4
 
0.1%
2.9261 3
 
0.1%
2.7514 3
 
0.1%
3.3594 3
 
0.1%
Other values (68) 167
 
4.3%
(Missing) 3642
94.2%
ValueCountFrequency (%)
1.3234 1
< 0.1%
1.3515 1
< 0.1%
1.4262 1
< 0.1%
1.6941 1
< 0.1%
1.7241 1
< 0.1%
ValueCountFrequency (%)
3.7788 3
0.1%
3.7743 1
 
< 0.1%
3.726 3
0.1%
3.7018 3
0.1%
3.5788 1
 
< 0.1%

Diphosphorus_Pentoxide
Real number (ℝ)

Distinct108
Distinct (%)48.2%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.887
Mean21.1
Minimum8.1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:32.435168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8.1
5-th percentile8.95
Q113.9
median20.4
Q325.7
95-th percentile40.1
Maximum50
Range41.9
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation9.36
Coefficient of variation (CV)0.444
Kurtosis0.286
Mean21.1
Median Absolute Deviation (MAD)6
Skewness0.887
Sum4.72 × 103
Variance87.7
MonotonicityNot monotonic
2024-07-19T15:39:32.556814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
22.85 6
 
0.2%
24.95 6
 
0.2%
23.6 6
 
0.2%
13.35 6
 
0.2%
10.9 4
 
0.1%
15.4 4
 
0.1%
40.15 3
 
0.1%
16.75 3
 
0.1%
40.55 3
 
0.1%
28.55 3
 
0.1%
Other values (98) 180
 
4.7%
(Missing) 3642
94.2%
ValueCountFrequency (%)
8.1 1
 
< 0.1%
8.2 1
 
< 0.1%
8.45 3
0.1%
8.5 1
 
< 0.1%
8.6 3
0.1%
ValueCountFrequency (%)
49.95 1
 
< 0.1%
47.25 1
 
< 0.1%
46.35 3
0.1%
43.05 1
 
< 0.1%
42.9 1
 
< 0.1%

Iron
Real number (ℝ)

MISSING  SKEWED 

Distinct89
Distinct (%)39.7%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness1.12
Mean4.17
Minimum1.48
Maximum10.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:32.685851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.48
5-th percentile2.02
Q12.75
median3.78
Q35.18
95-th percentile7.75
Maximum10.4
Range8.9
Interquartile range (IQR)2.43

Descriptive statistics

Standard deviation1.82
Coefficient of variation (CV)0.437
Kurtosis1.22
Mean4.17
Median Absolute Deviation (MAD)1.25
Skewness1.12
Sum934
Variance3.32
MonotonicityNot monotonic
2024-07-19T15:39:32.808148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.8 8
 
0.2%
2.2 7
 
0.2%
2.7 6
 
0.2%
2.4 4
 
0.1%
2.3 4
 
0.1%
2.6 4
 
0.1%
3.59251 3
 
0.1%
3.50305 3
 
0.1%
2.31962 3
 
0.1%
5.24699 3
 
0.1%
Other values (79) 179
 
4.6%
(Missing) 3642
94.2%
ValueCountFrequency (%)
1.47804 1
< 0.1%
1.483 1
< 0.1%
1.67241 1
< 0.1%
1.70561 1
< 0.1%
1.87893 1
< 0.1%
ValueCountFrequency (%)
10.38183 3
0.1%
9.3276 3
0.1%
8.2785 3
0.1%
7.78986 3
0.1%
7.50656 3
0.1%

Magnesium
Real number (ℝ)

Distinct99
Distinct (%)44.2%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.601
Mean9.91
Minimum6.54
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:32.941314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6.54
5-th percentile6.99
Q18.2
median9.12
Q311.8
95-th percentile14
Maximum15
Range8.44
Interquartile range (IQR)3.64

Descriptive statistics

Standard deviation2.24
Coefficient of variation (CV)0.226
Kurtosis-0.804
Mean9.91
Median Absolute Deviation (MAD)1.35
Skewness0.601
Sum2.22 × 103
Variance5.03
MonotonicityNot monotonic
2024-07-19T15:39:33.058169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8.3 5
 
0.1%
8.7 4
 
0.1%
8.4 4
 
0.1%
13.263 3
 
0.1%
12.71052 3
 
0.1%
9.4984083 3
 
0.1%
8.7996505 3
 
0.1%
11.9933931 3
 
0.1%
8.6883325 3
 
0.1%
8.8556556 3
 
0.1%
Other values (89) 190
 
4.9%
(Missing) 3642
94.2%
ValueCountFrequency (%)
6.5401126 1
< 0.1%
6.6795577 1
< 0.1%
6.7052215 1
< 0.1%
6.8 1
< 0.1%
6.8024165 1
< 0.1%
ValueCountFrequency (%)
14.9790729 3
0.1%
14.7718562 3
0.1%
14.3761034 3
0.1%
13.9944181 3
0.1%
13.9447999 1
 
< 0.1%

Manganese
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct115
Distinct (%)51.3%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness-0.0395
Mean186
Minimum14.3
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:33.186015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.3
5-th percentile59.8
Q1118
median175
Q3263
95-th percentile308
Maximum318
Range304
Interquartile range (IQR)145

Descriptive statistics

Standard deviation84.6
Coefficient of variation (CV)0.455
Kurtosis-1.21
Mean186
Median Absolute Deviation (MAD)72.3
Skewness-0.0395
Sum4.16 × 104
Variance7.16 × 103
MonotonicityNot monotonic
2024-07-19T15:39:33.308201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
289.7939 3
 
0.1%
232.4557 3
 
0.1%
264.2828 3
 
0.1%
258.0814 3
 
0.1%
282.2636 3
 
0.1%
228.5001 3
 
0.1%
113.0921 3
 
0.1%
207.2041 3
 
0.1%
175.3447 3
 
0.1%
145.9417 3
 
0.1%
Other values (105) 194
 
5.0%
(Missing) 3642
94.2%
ValueCountFrequency (%)
14.2649 1
< 0.1%
14.9326 1
< 0.1%
19.951 1
< 0.1%
22.7182 1
< 0.1%
27.828 1
< 0.1%
ValueCountFrequency (%)
318 3
0.1%
314.3286 3
0.1%
312.3882 3
0.1%
308.3332 3
0.1%
306.9892 3
0.1%

Nitrate
Real number (ℝ)

MISSING  SKEWED 

Distinct119
Distinct (%)53.1%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness1.3
Mean0.496
Minimum0.188
Maximum1.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:33.438722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.188
5-th percentile0.217
Q10.295
median0.433
Q30.596
95-th percentile1.07
Maximum1.48
Range1.29
Interquartile range (IQR)0.301

Descriptive statistics

Standard deviation0.271
Coefficient of variation (CV)0.546
Kurtosis1.28
Mean0.496
Median Absolute Deviation (MAD)0.156
Skewness1.3
Sum111
Variance0.0734
MonotonicityNot monotonic
2024-07-19T15:39:33.588819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.43 6
 
0.2%
0.295 4
 
0.1%
0.268 4
 
0.1%
0.541 4
 
0.1%
0.435 4
 
0.1%
0.463 4
 
0.1%
0.319 4
 
0.1%
0.209 3
 
0.1%
0.248 3
 
0.1%
0.5 3
 
0.1%
Other values (109) 185
 
4.8%
(Missing) 3642
94.2%
ValueCountFrequency (%)
0.188 3
0.1%
0.196 3
0.1%
0.209 3
0.1%
0.213 1
 
< 0.1%
0.217 3
0.1%
ValueCountFrequency (%)
1.48 1
 
< 0.1%
1.435 1
 
< 0.1%
1.28 1
 
< 0.1%
1.186 3
0.1%
1.17 1
 
< 0.1%

Potassium_Oxide
Real number (ℝ)

Distinct105
Distinct (%)46.9%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.68
Mean30.3
Minimum13.5
Maximum61.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:33.731248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.5
5-th percentile16.3
Q120.5
median25.9
Q339.3
95-th percentile52.9
Maximum61.6
Range48.1
Interquartile range (IQR)18.8

Descriptive statistics

Standard deviation12
Coefficient of variation (CV)0.396
Kurtosis-0.659
Mean30.3
Median Absolute Deviation (MAD)7.72
Skewness0.68
Sum6.8 × 103
Variance145
MonotonicityNot monotonic
2024-07-19T15:39:34.193742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
30.65 6
 
0.2%
17.8 5
 
0.1%
23.2 5
 
0.1%
15.1 5
 
0.1%
19.4 4
 
0.1%
45.1 4
 
0.1%
20.9 4
 
0.1%
24.5 4
 
0.1%
18.8 3
 
0.1%
45.4 3
 
0.1%
Other values (95) 181
 
4.7%
(Missing) 3642
94.2%
ValueCountFrequency (%)
13.5 1
 
< 0.1%
14.95 3
0.1%
15.1 5
0.1%
16.25 3
0.1%
16.55 1
 
< 0.1%
ValueCountFrequency (%)
61.6 3
0.1%
57.15 1
 
< 0.1%
54.3 3
0.1%
53.3 3
0.1%
53.25 1
 
< 0.1%

Sodium
Real number (ℝ)

Distinct72
Distinct (%)32.1%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness0.631
Mean12
Minimum6
Maximum20.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:34.320315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q110.1
median11.7
Q313.5
95-th percentile18.9
Maximum20.8
Range14.8
Interquartile range (IQR)3.37

Descriptive statistics

Standard deviation3.31
Coefficient of variation (CV)0.274
Kurtosis0.134
Mean12
Median Absolute Deviation (MAD)1.67
Skewness0.631
Sum2.7 × 103
Variance10.9
MonotonicityNot monotonic
2024-07-19T15:39:34.446659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 12
 
0.3%
8 11
 
0.3%
9 11
 
0.3%
12 9
 
0.2%
11 8
 
0.2%
13 6
 
0.2%
10 4
 
0.1%
9.1096 3
 
0.1%
13.4882 3
 
0.1%
15.0298 3
 
0.1%
Other values (62) 154
 
4.0%
(Missing) 3642
94.2%
ValueCountFrequency (%)
6 3
 
0.1%
7 12
0.3%
7.4832 3
 
0.1%
8 11
0.3%
8.0168 3
 
0.1%
ValueCountFrequency (%)
20.7573 3
0.1%
20.168 3
0.1%
19.6532 3
0.1%
19.1036 3
0.1%
17.7363 3
0.1%

Sulphate
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct29
Distinct (%)90.6%
Missing3834
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Skewness3.24
Mean0.254
Minimum0.115
Maximum0.684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:34.585699image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.115
5-th percentile0.16
Q10.224
median0.24
Q30.27
95-th percentile0.345
Maximum0.684
Range0.569
Interquartile range (IQR)0.0455

Descriptive statistics

Standard deviation0.0929
Coefficient of variation (CV)0.366
Kurtosis15.1
Mean0.254
Median Absolute Deviation (MAD)0.0255
Skewness3.24
Sum8.13
Variance0.00863
MonotonicityNot monotonic
2024-07-19T15:39:34.711409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.241 2
 
0.1%
0.261 2
 
0.1%
0.24 2
 
0.1%
0.272 1
 
< 0.1%
0.355 1
 
< 0.1%
0.234 1
 
< 0.1%
0.115 1
 
< 0.1%
0.271 1
 
< 0.1%
0.236 1
 
< 0.1%
0.269 1
 
< 0.1%
Other values (19) 19
 
0.5%
(Missing) 3834
99.2%
ValueCountFrequency (%)
0.115 1
< 0.1%
0.159 1
< 0.1%
0.16 1
< 0.1%
0.173 1
< 0.1%
0.182 1
< 0.1%
ValueCountFrequency (%)
0.684 1
< 0.1%
0.355 1
< 0.1%
0.337 1
< 0.1%
0.305 1
< 0.1%
0.289 1
< 0.1%

Zinc
Real number (ℝ)

Distinct83
Distinct (%)37.1%
Missing3642
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Skewness-0.474
Mean4.18
Minimum1.93
Maximum6.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-07-19T15:39:34.888154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.93
5-th percentile3.38
Q13.8
median4.2
Q34.61
95-th percentile5.14
Maximum6.17
Range4.24
Interquartile range (IQR)0.814

Descriptive statistics

Standard deviation0.664
Coefficient of variation (CV)0.159
Kurtosis1.47
Mean4.18
Median Absolute Deviation (MAD)0.411
Skewness-0.474
Sum936
Variance0.441
MonotonicityNot monotonic
2024-07-19T15:39:35.028753image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.3 8
 
0.2%
5 7
 
0.2%
4 7
 
0.2%
3.5 6
 
0.2%
4.2 5
 
0.1%
3.4 4
 
0.1%
4.1 4
 
0.1%
5.1 4
 
0.1%
4.1913 3
 
0.1%
4.9286 3
 
0.1%
Other values (73) 173
 
4.5%
(Missing) 3642
94.2%
ValueCountFrequency (%)
1.9273 1
< 0.1%
1.9427 1
< 0.1%
2.112 1
< 0.1%
2.1308 1
< 0.1%
2.3579 1
< 0.1%
ValueCountFrequency (%)
6.1658 1
< 0.1%
6.0602 1
< 0.1%
5.7 1
< 0.1%
5.4493 1
< 0.1%
5.2209 1
< 0.1%

Interactions

2024-07-19T15:39:21.072932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:42.583127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:47.236257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:50.948170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:55.170843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:59.271764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:03.518965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:07.506387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:11.678705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:14.917659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:18.767287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:22.437097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:26.392479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:29.761195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:32.982265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:36.725643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:40.322673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:44.204971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:47.760191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:51.245833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:55.114365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:58.614108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:02.286881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:05.960769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:09.669201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:13.480337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:17.160603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:21.242373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:42.741923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:47.393601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:51.112939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:55.338298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:59.450115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:03.697995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:07.682732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:11.845010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:15.057406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:18.932069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:22.592996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:26.549801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:29.910110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:33.137935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:36.888458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:40.467339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2024-07-19T15:39:05.383340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:09.133660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:12.970250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:16.619405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:20.500221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:24.189085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:46.758941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:50.502400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:54.757752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:58.807677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:03.093255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:07.061953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:11.265929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:14.571917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:18.357990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:22.015472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:25.623085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:29.409257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:32.642940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:36.383804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:39.917536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:43.784641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:47.366772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:50.845317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:54.714605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:58.218806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:01.919563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:05.533633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:09.262399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:13.090446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:16.747863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:20.633547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:24.329206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:46.930740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:50.651780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:54.900740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:58.981224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:03.245790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:07.225054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:11.417793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:14.687976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:18.503582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:22.165746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:26.133567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:29.522047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:32.755722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:36.502100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:40.059934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:43.930944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:47.516955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:50.990244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:54.857186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:58.354214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:02.049039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:05.702323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:09.407609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:13.222286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:16.894917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:20.780751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:24.471866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:47.078457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:50.806206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:55.042618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:37:59.133722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:03.379146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:07.366765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:11.554743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:14.801433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:18.642998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:22.307425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:26.265583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:29.636982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:32.868016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:36.615064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:40.196414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:44.066033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:47.635104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:51.125606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:54.988911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:38:58.491285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:02.177777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:05.829054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:09.544928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:13.356695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:17.032625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-07-19T15:39:20.921100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2024-07-19T15:39:35.290165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Experimental_YearPlot_IDDepth_minDepth_maxDry_MatterOrganic_MatterpHWHCTotal_CarbonTotal_NitrogenCN_RatioTotal_Organic_CarbonChalkHumusAmmoniumBoriumCalciumCopperDiphosphorus_PentoxideIronMagnesiumManganeseNitratePotassium_OxideSodiumSulphateZincDateCropBeneficials
Experimental_Year1.000-0.007-0.112-0.0320.039-0.0850.267-0.4470.0910.049-0.348NaNNaNNaN-0.437NaN0.544-0.037-0.538-0.477-0.182-0.0730.196-0.201-0.563NaN0.0220.9920.1930.703
Plot_ID-0.0071.0000.0080.0040.150-0.067-0.062-0.0290.036-0.0710.097-0.0500.111-0.050-0.0120.140-0.0920.1370.1460.0370.0100.056-0.0260.093-0.0180.0400.1370.3490.1330.087
Depth_min-0.1120.0081.0000.962NaNNaNNaN-0.1730.135NaNNaN-0.9060.808-0.906NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.2450.1130.130
Depth_max-0.0320.0040.9621.000NaNNaNNaN-0.1730.355NaNNaN-0.9060.808-0.906NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.2450.1130.130
Dry_Matter0.0390.150NaNNaN1.000-0.263-0.049NaN-0.278-0.1790.024NaNNaNNaN-0.3560.0500.0130.0500.077-0.031-0.1310.0410.3200.1790.144-0.4710.0330.7180.7940.444
Organic_Matter-0.085-0.067NaNNaN-0.2631.000-0.376NaN0.8880.739-0.168NaNNaNNaN0.259-0.198-0.4050.0690.1910.2130.6000.2210.3300.5940.2680.3200.2690.3950.3260.220
pH0.267-0.062NaNNaN-0.049-0.3761.000NaN-0.191-0.3260.332NaNNaNNaN-0.434-0.7840.900-0.6290.076-0.822-0.857-0.877-0.234-0.407-0.4400.156-0.5060.2700.3420.173
WHC-0.447-0.029-0.173-0.173NaNNaNNaN1.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.4710.1161.000
Total_Carbon0.0910.0360.1350.355-0.2780.888-0.191NaN1.0000.718-0.017-0.4850.771-0.4850.210-0.223-0.237-0.0620.4130.0480.435-0.0030.2500.6260.2340.3700.1910.1920.1060.053
Total_Nitrogen0.049-0.071NaNNaN-0.1790.739-0.326NaN0.7181.000-0.642NaNNaNNaN0.184-0.190-0.4070.0370.1490.1850.4640.1960.2710.5960.1470.3670.2110.4470.4000.395
CN_Ratio-0.3480.097NaNNaN0.024-0.1680.332NaN-0.017-0.6421.000NaNNaNNaN-0.103-0.2630.410-0.2300.294-0.260-0.309-0.400-0.216-0.1340.0420.107-0.2060.5290.4250.339
Total_Organic_CarbonNaN-0.050-0.906-0.906NaNNaNNaNNaN-0.485NaNNaN1.000-0.8591.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0600.0001.000
ChalkNaN0.1110.8080.808NaNNaNNaNNaN0.771NaNNaN-0.8591.000-0.859NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.1940.1421.000
HumusNaN-0.050-0.906-0.906NaNNaNNaNNaN-0.485NaNNaN1.000-0.8591.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0600.0001.000
Ammonium-0.437-0.012NaNNaN-0.3560.259-0.434NaN0.2100.184-0.103NaNNaNNaN1.0000.366-0.4810.3180.1160.4850.4110.3680.1540.1270.1880.6090.1410.3350.5360.302
BoriumNaN0.140NaNNaN0.050-0.198-0.784NaN-0.223-0.190-0.263NaNNaNNaN0.3661.000NaN0.786-0.3580.8980.4850.945-0.008-0.3900.193-0.1730.5921.0001.0000.000
Calcium0.544-0.092NaNNaN0.013-0.4050.900NaN-0.237-0.4070.410NaNNaNNaN-0.481NaN1.000-0.612-0.072-0.834-0.814-0.841-0.094-0.547-0.559NaN-0.5460.4000.4860.431
Copper-0.0370.137NaNNaN0.0500.069-0.629NaN-0.0620.037-0.230NaNNaNNaN0.3180.786-0.6121.000-0.0660.5530.6010.8070.1300.1160.147-0.1800.7410.3780.3040.146
Diphosphorus_Pentoxide-0.5380.146NaNNaN0.0770.1910.076NaN0.4130.1490.294NaNNaNNaN0.116-0.358-0.072-0.0661.000-0.041-0.084-0.245-0.1660.5640.1550.2980.2760.3750.3330.361
Iron-0.4770.037NaNNaN-0.0310.213-0.822NaN0.0480.185-0.260NaNNaNNaN0.4850.898-0.8340.553-0.0411.0000.7060.7910.0970.2220.569-0.2000.3720.3600.4940.287
Magnesium-0.1820.010NaNNaN-0.1310.600-0.857NaN0.4350.464-0.309NaNNaNNaN0.4110.485-0.8140.601-0.0840.7061.0000.8310.3520.4200.4580.0670.5150.3580.3960.170
Manganese-0.0730.056NaNNaN0.0410.221-0.877NaN-0.0030.196-0.400NaNNaNNaN0.3680.945-0.8410.807-0.2450.7910.8311.0000.2320.2180.338-0.1450.6030.3990.3390.155
Nitrate0.196-0.026NaNNaN0.3200.330-0.234NaN0.2500.271-0.216NaNNaNNaN0.154-0.008-0.0940.130-0.1660.0970.3520.2321.0000.1470.1440.4110.1040.3020.3160.170
Potassium_Oxide-0.2010.093NaNNaN0.1790.594-0.407NaN0.6260.596-0.134NaNNaNNaN0.127-0.390-0.5470.1160.5640.2220.4200.2180.1471.0000.3370.3140.4090.3850.4490.280
Sodium-0.563-0.018NaNNaN0.1440.268-0.440NaN0.2340.1470.042NaNNaNNaN0.1880.193-0.5590.1470.1550.5690.4580.3380.1440.3371.0000.1790.0530.5290.6430.242
SulphateNaN0.040NaNNaN-0.4710.3200.156NaN0.3700.3670.107NaNNaNNaN0.609-0.173NaN-0.1800.298-0.2000.067-0.1450.4110.3140.1791.000-0.0331.0001.0000.232
Zinc0.0220.137NaNNaN0.0330.269-0.506NaN0.1910.211-0.206NaNNaNNaN0.1410.592-0.5460.7410.2760.3720.5150.6030.1040.4090.053-0.0331.0000.4090.2050.080
Date0.9920.3490.2450.2450.7180.3950.2700.4710.1920.4470.5290.0600.1940.0600.3351.0000.4000.3780.3750.3600.3580.3990.3020.3850.5291.0000.4091.0000.9050.691
Crop0.1930.1330.1130.1130.7940.3260.3420.1160.1060.4000.4250.0000.1420.0000.5361.0000.4860.3040.3330.4940.3960.3390.3160.4490.6431.0000.2050.9051.0000.163
Beneficials0.7030.0870.1300.1300.4440.2200.1731.0000.0530.3950.3391.0001.0001.0000.3020.0000.4310.1460.3610.2870.1700.1550.1700.2800.2420.2320.0800.6910.1631.000

Missing values

2024-07-19T15:39:24.739588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-19T15:39:25.355638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-07-19T15:39:26.264167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Experimental_YearDatePlot_IDCropBeneficialsDepth_minDepth_maxDry_MatterOrganic_MatterpHWHCTotal_CarbonTotal_NitrogenCN_RatioTotal_Organic_CarbonChalkHumusAmmoniumBoriumCalciumCopperDiphosphorus_PentoxideIronMagnesiumManganeseNitratePotassium_OxideSodiumSulphateZinc
020092009-03-03 00:00:00.000000019Winter rapeseedControl015NaNNaNNaNNaN1.527NaNNaN1.4363220.7556502.470474NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
120092009-03-03 00:00:00.000000019Winter rapeseedControl1530NaNNaNNaNNaN1.473NaNNaN1.3810600.7661672.375423NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
220092009-03-03 00:00:00.000000019Winter rapeseedControl3060NaNNaNNaNNaN1.441NaNNaN1.2190001.8500002.096680NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
320092009-03-03 00:00:00.000000019Winter rapeseedControl6090NaNNaNNaNNaN2.741NaNNaN0.97400014.7250001.675280NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
420092009-03-03 00:00:00.000000020Winter rapeseedControl015NaNNaNNaNNaN1.591NaNNaN1.4700001.0083332.528400NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
520092009-03-03 00:00:00.000000020Winter rapeseedControl1530NaNNaNNaNNaN1.531NaNNaN1.4190000.9333332.440680NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
620092009-03-03 00:00:00.000000020Winter rapeseedControl3060NaNNaNNaNNaN1.556NaNNaN1.2140002.8500002.088080NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
720092009-03-03 00:00:00.000000020Winter rapeseedControl6090NaNNaNNaNNaN2.471NaNNaN0.82900013.6833331.425880NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
820092009-03-03 00:00:00.000000025Winter rapeseedControl015NaNNaNNaNNaN2.018NaNNaN1.9336370.7030253.325856NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
920092009-03-03 00:00:00.000000025Winter rapeseedControl1530NaNNaNNaNNaN1.811NaNNaN1.6920000.9916672.910240NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
Experimental_YearDatePlot_IDCropBeneficialsDepth_minDepth_maxDry_MatterOrganic_MatterpHWHCTotal_CarbonTotal_NitrogenCN_RatioTotal_Organic_CarbonChalkHumusAmmoniumBoriumCalciumCopperDiphosphorus_PentoxideIronMagnesiumManganeseNitratePotassium_OxideSodiumSulphateZinc
385620212021-07-26 00:00:00.0000000104Grain maizeBMs03088.22.87.4NaN1.60.1610.0NaNNaNNaN0.0361.95NaN2.912.13.58.7260.00.35026.29.00.2614.5
385720212021-07-26 00:00:00.0000000104Grain maizeControl03086.92.87.4NaN1.60.1610.0NaNNaNNaN0.0621.74NaN2.812.63.17.9211.00.25225.58.00.2694.3
385820212021-07-26 00:00:00.0000000177Grain maizeBMs03085.93.57.4NaN2.00.2010.0NaNNaNNaN0.0311.28NaN2.716.02.28.8134.00.56537.18.00.2614.2
385920212021-07-26 00:00:00.0000000177Grain maizeControl03086.83.47.4NaN2.00.2010.0NaNNaNNaN0.0381.38NaN3.216.32.59.1164.00.51736.67.00.2364.4
386020212021-07-26 00:00:00.0000000178Grain maizeBMs03085.03.77.2NaN2.20.2210.0NaNNaNNaN0.0421.85NaN3.315.83.312.0272.00.83036.88.00.2415.0
386120212021-07-26 00:00:00.0000000178Grain maizeControl03085.73.57.2NaN2.10.2110.0NaNNaNNaNNaN1.94NaN3.421.63.713.2292.00.83536.47.00.2715.0
386220212021-07-26 00:00:00.0000000179Grain maizeBMs03087.02.87.3NaN1.60.1610.0NaNNaNNaN0.0312.11NaN3.210.94.29.0289.00.43423.47.00.1154.9
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